Item detail

github.com

deepset-ai/Haystack v2.30.1

RepoRadar surfaced deepset-ai/Haystack v2.30.1 — a framework — into the Radar section, where it sits at Gold tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 9.7 out of 10.

Open on GitHub →Back to radar

Score8.6

Popularity86.0

Risknone

TierGold

Score breakdown

Usefulness8.0

Novelty7.0

Momentum8.0

Maturity8.5

Open-source/build8.4

Evidence7.2

Workflow potential9.7

Setup ease6.2

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

This is practical for teams shipping RAG systems because incremental hardening reduces integration drift across Azure and custom generator backends.

Who should use it

LLM platform teams RAG platform engineers enterprises integrating Azure/OpenAI

Who should skip it

Consider deepset-ai/Haystack v2.30.1 lower priority if you already have a working solution in this category.

About this signal

deepset-ai/Haystack v2.30.1 is tracked by RepoRadar as a framework in the Radar section. First seen 2026-06-18; the source record was last checked on 2026-06-18. The current verdict is 'try now' with a Gold tier and intermediate setup difficulty. The standout signals for deepset-ai/Haystack v2.30.1 are workflow potential (9.7) and maturity (8.5), while setup ease (6.2) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.

How this item is evaluated

The deepset-ai/Haystack v2.30.1 record combines a 8.6/10 composite score with separate popularity (86.0), risk (none), and setup (intermediate) signals. See the scoring methodology for the current weights and evidence definitions.

Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.

Risk explanation

RAG systems still inherit source-document quality issues; ranking outputs need monitoring and guardrails.

Evidence links

github.com

Closest alternatives / related signals

rag agents retrieval orchestration azure

Verification record

What RepoRadar actually verified

Tested in a bounded workflow

Bounded representative workflow retained by RepoRadar verification harness. Last checked 2026-07-13T10:35:22.579966Z.

passed · cohort-20260712-haystack-memory-store

Tester: RepoRadar automated local verification harness
Started: 2026-07-13T10:35:18.898882Z
Completed: 2026-07-13T10:35:22.579966Z
Environment: Windows 10 AMD64; Python 3.11.9; credential-stripped child environment; disposable home/cache
Install/setup time: 1 minute(s)
Evidence scope: Bounded representative workflow
Cleanup: Per-check temporary home and work directory removed. Shared cohort package cache removed.

Actions exercised

Created a disposable home, work directory, and isolated package cache with credential-like environment variables excluded.
Wrote three runbook Documents with metadata into an InMemoryDocumentStore.
Ran an InMemoryBM25Retriever for a checkout rollback query and asserted the rollback document ranked first.
Executed bounded check: Index three synthetic runbooks in Haystack's memory store and retrieve the expected document with BM25.
Captured the complete sanitized stdout, stderr, exit status, artifact checks, and 3.68-second wall time.

Observed results

Command exited 0 after 3.68 seconds.
Haystack indexed all three fixture documents and BM25 returned the rollback runbook first in a two-document result set.
Expected marker 'CHECK_OK top=rollback stored=3 returned=2' was observed in retained output.
Validated result.json: 2 required marker(s) present and 0 excluded marker(s) absent; size and SHA-256 are retained.

Observed strengths

The document-store and retriever APIs composed into a working local lexical-retrieval path with metadata preserved and no external service.

Friction

The bounded workflow required choosing a lexical retriever explicitly; it does not resolve the embedding and generator configuration needed for semantic RAG.
Setup or runtime emitted 5 stderr line(s); the complete warnings/errors are preserved in the retained log.

Limitations

This lexical in-memory retrieval fixture does not cover embeddings, a multi-component Pipeline, persistence, document conversion, generators, evaluation, or production corpus scale.
This credential-free disposable workflow does not establish production scale, model quality, reliability under sustained use, or team adoption.

Pricing assessment: The in-memory Haystack workflow used the local open-source package with no hosted component or model charge.

Privacy assessment: All synthetic runbooks remained in an in-process document store; no embedding, generator, telemetry, or remote persistence endpoint was used.

Open retained test log →

Verification sources

Official source ↗ · checked 2026-08-13

Longitudinal intelligence

How this decision record is moving

Raw history JSON →

47 dated snapshots retained from 2026-06-18 through 2026-08-13; see the snapshot index for explicit coverage gaps. Stars, version, release, pricing, integration, risk, maintenance, verdict, score, and momentum fields remain explicit even when a source has not reported them. Repository momentum is a normalized 0–10 RepoRadar signal; GitHub stars appear only where the popularity monitor retained exact timestamped observations.

RepoRadar score8.6 current · +0.0 net

Repository momentum9.6 current · +1.6 net

GitHub stars (observed)26,201 current · +312 net

GitHub stars26,201 exact observation

Versionv3.0.0

Last release2026-07-20T12:07:08Z

Maintenanceactive

Current risknone

Current verdicttry now

Pricing baselineNo structured commercial pricing baseline

Pricing checkedNot applicable or not recorded

Pricing freshnessNo dated commercial pricing review

Integrations baselineModel Context Protocol

Recent dated points

Date	Score	Momentum	Stars	Risk	Verdict	Maintenance
2026-08-13	8.6	9.6	26,201	none	try now	active
2026-08-12	8.6	9.6	26,189	none	try now	active
2026-08-11	8.6	9.3	26,173	none	try now	active
2026-08-10	8.6	9.6	26,164	none	try now	active
2026-08-09	8.6	9.3	26,153	none	try now	active
2026-08-08	8.6	9.3	26,144	none	try now	active
2026-08-07	8.6	9.6	26,096	none	try now	active
2026-08-06	8.6	8.0	Not recorded	none	try now	not recorded
2026-08-05	8.6	8.0	Not recorded	none	try now	not recorded
2026-08-04	8.6	9.6	26,096	none	try now	active
2026-08-03	8.6	9.6	26,096	none	try now	active
2026-08-02	8.6	9.6	26,084	none	try now	active

Why the record changed

stars changed2026-08-13

Stars changed: 26189 → 26201.

stars changed2026-08-12

Stars changed: 26173 → 26189.

stars changed2026-08-11

Stars changed: 26164 → 26173.

stars changed2026-08-10

Stars changed: 26153 → 26164.

stars changed2026-08-09

Stars changed: 26144 → 26153.

stars changed2026-08-08

Stars changed: 26096 → 26144.

stars changed2026-08-03

Stars changed: 26084 → 26096.

stars changed2026-08-02

Stars changed: 26073 → 26084.

integration changed2026-08-02

Integration changed: Google Gemini → Model Context Protocol.

stars changed2026-08-01

Source-observed stars changed: 26072 → 26073. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed2026-07-29

Stars changed: 26041 → 26054.

stars changed2026-07-28

Source-observed stars changed: 26040 → 26041. This reports the retained observation delta and does not infer why the upstream change occurred.